My Portfolio
Scroll down to see my projects in Data Analytics, Visualization and Machine Learning Domain.
My Portfolio
Here are some of my expertise
Data Analytics
Analyzing data to get insights and helping businesses in data-driven decision making
Data Engineering
Connecting multiple data sources and Managing data pipelines, workflows, and ETL processes
Statistical Analysis
Leveraging statistical techniques to understand the data and extract business insights
Data Reporting & Visualization
Creating interactive reports and dashboards to help make informed data decisions
Machine Learning & Deep Learning
Building algorithms to identify trends and patterns and reduce human error
Business Knowledge
Leveraging data to help stakeholders make data-driven business decisions
Sentiment Analysis of London AirBnb
Sentiment Analyis of comments and reviews of AirBnb inside London area and provide potential suggestions to improve the negative reviews.
Platform Used:
Python; Jupyter Notebook
Libraries Used
Pandas, NumPy, Matplotlib, NLTK
Exploring Factors and Features Affecting Airbnb Listing Prices
Detail exploratory data analysis on the prices of AirBnb inside London City.
Platform Used:
Python; Jupyter Notebook
Libraries Used
Pandas, NumPy, Matplotlib
Sales Insights of Laptop Manufacturer
Exploratory Data Analyis on the revenue report of demo manufacturer which is a laptop production company using SQL and Tableau for visualization.
Platform Used:
MYSQL WorkBench and Tableau
Tomato Diseases Identification using CNN (Deep Learning)
Research and develop algorithm for processing unstructured data using Data Augmentation and Image Data Generator techniques with accuracy of 97%. Train multiple Neural Networks image data and compare them based on accuracy, size of data, and time taken. Delivered an Open-source Mobile Application platform.
Tools used
Python (Tensorflow, Tensorboard, Numpy), Deep Learning Models (CNN), Android Mobile App (Java)
Predictive Data Analysis on
Daily Bike Rentals
The main goal is to build a predictive model using Machine-Learning to predict the expected number of rentals in a given day.
Platform and Model used
Python (Pands,NumPy, Matplotlib, Seaborn) ML Model (Liner Regression) R-squared
Detection of Malware using Machine Learning and Deep Learning algorithms
Perform descriptive analysis and summary statistics on Malware data Prepared the raw data and trained using different algorithms and compared them based on accuracy, precision, f1-score, recall, size of data, and time taken Build ML and DL models to identify the malwares
Platform and Model used
Python (Pands,NumPy, Matplotlib, Seaborn), ML & DL Models (Logistic Regression, Decision Tree, Random Forest, Neural Networks)
Exploratory Data Analysis on World Cup Goals
The very first 100 goals scored in World Cup 2018 are analysed and presented in an attractive automated dashboard.
Tools used
MS-Excel and Tableau
Sales Report of Superstore
Analysis on generated revenue from different states, and products. Click on view project to see full project description.
Tools used
Tableau